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Requisition Id 14977 Overview: The Manufacturing Energy Efficiency Research & Analysis (MEERA) Group, housed within the Manufacturing Science Division (MSD), Energy Science and Technology
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, data analytics, geospatial science and technology, nuclear nonproliferation, and high-performance computing for sensitive national security missions. We also enhance ORNL contributions to national
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measure success. Basic Qualifications: A PhD in Materials Science and Engineering or a related field completed within the last 5 years Preferred Qualifications: Strong background in computational and image
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on pyrocarbon and graphite-based nuclear materials. Develop an operational mastery of the two-modulator generalized ellipsometry microscope (2-MGEM). Develop a working knowledge of the overall technology and
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the Manufacturing Science Division (MSD), Energy Science and Technology Directorate (ESTD) at Oak Ridge National Laboratory (ORNL) to work in the areas of renewable energy and the implementation of such technologies
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at the intersection of quantum information science and fundamental materials physics. The research program focuses on understanding the fundamental limits of spin-based quantum sensors as probes of magnetic and
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. Ensure compliance with environment, safety, health and quality program requirements. Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity
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, work together, and measure success. Basic Qualifications: A PhD in engineering, computer science, or a related field completed within the last five years. Expertise in systems dynamics and controls
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manufacturing (AM) processes. This position resides in the Computational Sciences and Engineering Division (CSED) at Oak Ridge National Laboratory (ORNL). CSED focuses on transdisciplinary computational science
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transformative solutions to compelling problems in energy and security. Our diverse capabilities span a broad range of scientific and engineering disciplines, enabling the Laboratory to explore fundamental science